A multi-source data information ring chart expression method

Abstract

This invention belongs to the field of multi-source information fusion and display technology, specifically disclosing a method for representing multi-source data information ring diagrams. The method includes: achieving rapid connection and association of multi-source data through standardized APIs and metadata tags; constructing a multi-level information ring structure based on a map, attaching data to corresponding links; building a template library and a visual configuration interface to achieve customized display of the information ring; encapsulating GIS functions into reusable components to dynamically adjust the information ring layout and avoid obstruction; and constructing a GIS and BI linkage mechanism to enable shared datasets and bidirectional real-time interaction between the map information ring and the data dashboard. This invention transforms isolated and scattered multi-source intelligence into a spatiotemporally unified, hierarchically clear, and interactively explorable battlefield diagram, significantly improving the efficiency and accuracy of intelligence analysis.

Description

Technical Field

[0001] This invention belongs to the field of multi-source information fusion and display technology, and specifically relates to a method for expressing multi-source data information ring diagrams. Background Technology

[0002] With the increasing demand for integrated management of various geographic information resources and operational data such as intelligence, equipment, and aerospace, how to extract valuable information from multi-source data and effectively display and analyze it has become a key issue in fields such as information management and decision support. In the field of military intelligence, intelligence data is characterized by multi-source heterogeneity, covering various forms such as images, videos, documents, and thematic data, and is dispersed within the system and in third-party intelligence systems.

[0003] Currently, the visualization of multi-source data mainly relies on the following methods: (1) Traditional statistical charts: such as bar charts and pie charts, used to display attribute statistics that are detached from geographic space and lack location correlation. (2) Layered GIS display: data from different sources are superimposed on the map in the form of independent layers. The information is isolated from each other and the correlation depends on human brain synthesis. (3) Independent BI dashboard: data analysis results are displayed in the form of dashboards, but they are detached from the map situation and it is difficult to answer "where the data changes occurred". (4) Dispersed multimedia pop-ups: after clicking on map elements, text, pictures or video reports are displayed in independent windows. Information viewing and spatial browsing are separated into different interfaces.

[0004] These methods collectively lead to a core dilemma: while data is displayed, cognition still needs to be integrated. Analysts must constantly switch, memorize, and associate between screens, layers, and systems, resulting in a serious cognitive burden and efficiency bottleneck, specifically manifested in: (1) low data integration efficiency. Data from different sources has diverse formats, and the process of linking multi-source data is cumbersome, making it difficult to achieve rapid association; (2) monotonous display format. Traditional GIS systems mostly use layered overlay to display data, lacking an integrated presentation of "event-location-multi-dimensional information," requiring intelligence analysts to switch between multiple interfaces to obtain information, easily overlooking key associations; (3) insufficient visualization customization. It is impossible to flexibly adjust the display template according to different intelligence scenarios and analysis needs, and the display of multimodal data lacks automated layout optimization, resulting in low information density and insufficient screen space utilization; (4) low integration between GIS systems and BI dashboards, weak collaborative analysis capabilities of geospatial information and multi-dimensional data, and a disconnect between data presentation and analysis management. Summary of the Invention

[0005] The purpose of this invention is to overcome the defects in the existing technology and provide a method for expressing multi-source data information ring diagrams.

[0006] This invention provides a method for representing multi-source data information ring diagrams, including: Step 1: Deploy standardized API interfaces and adaptation middleware to automatically convert multi-source heterogeneous data formats and add metadata tags for each type of data. Based on the metadata tags, complete the automatic association and indexing of multi-source data to form a dataset. Step 2: Using a geographic map as the base state for information display, set specific events or geographic locations as the core nodes of the information loop, and construct a multi-level information loop structure around the core nodes; By matching the spatial coordinates of the map with the event attributes of the metadata tags, the data in the dataset is mounted onto the corresponding multi-level information ring structure. Step 3: Build a template library covering different military scenarios and a drag-and-drop visual configuration interface, preset the mapping relationship between multi-level information ring structure and visualization parameters, and display the multi-level information ring structure on the visual configuration interface based on the mapping relationship; Step 4: Encapsulate the GIS function into a reusable component, and dynamically adjust the display position of the multi-level information ring structure according to the density and geographical distribution of the multi-level information ring structure on the map to avoid mutual obstruction; Step 5: Couple the multi-level information loop structure on the GIS spatial data with the BI data dashboard to build a linkage mechanism between the GIS spatial data and the BI data dashboard. This allows the multi-level information loop structure of the GIS spatial data and the BI data dashboard to share the same dataset. When the multi-level information loop structure triggers an interaction, the BI dashboard synchronously updates the statistical analysis results of the corresponding spatial range.

[0007] A further approach is to include the metadata tag containing the event ID, geographic location, timestamp, and intelligence type.

[0008] A further approach is to include data source credibility in the metadata tag, which is used for subsequent data filtering and visualization encoding.

[0009] A further embodiment is that the multi-level information ring structure includes a core ring, a first-level ring, and second-level and above rings; The core ring carries critical intelligence; The core elements associated with the first-level ring; The second-level and above rings extend to display more detailed information.

[0010] A further proposed solution is that the GIS functions include map rendering, spatial analysis, and layer management.

[0011] A further solution is that the template library includes military-specific templates, including hotspot event analysis templates and equipment deployment templates; the visualization parameters include color, size, and animation, used to distinguish friend from foe, indicate intelligence importance, and display dynamic trajectories.

[0012] A further proposed solution is that the linkage mechanism includes: Data layer: The dataset is integrated with GIS spatial data through a unified data bus. Spatial data and attribute data are associated with geographic coordinates and event ID as dual key fields to form an integrated dataset. Presentation Layer: Adopting a data-driven strategy based on the same source, the multi-level information ring structure and the BI data dashboard share the integrated dataset. When the multi-level information ring structure triggers an interaction, the BI data dashboard synchronously updates the statistical analysis results of the corresponding spatial range. Conversely, when the BI data dashboard performs a filtering operation, it links and highlights the associated information rings on the map to achieve bidirectional real-time linkage. Collaborative Control Layer: Deploys a synchronization scheduling engine, which is used to synchronize map zooming, data refresh, and early warning triggering operations between the GIS and BI ends; and configures a multi-screen splicing interface, which is used to connect multiple display devices and define the display content of each display device.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention achieves rapid, unified access and precise correlation of multi-source heterogeneous data through standardized API interfaces and metadata tags, forming a structured dataset. It constructs a multi-level information ring structure based on a geographic map, logically mounting data onto surrounding nodes centered on events, achieving an integrated presentation of space, events, and information. The node arrangement is dynamically optimized based on data density, maintaining geographic reference while avoiding visual occlusion. Finally, by constructing a GIS and BI linkage mechanism, the map information ring and data dashboard share the same dataset and achieve bidirectional real-time interaction. This transforms isolated and scattered multi-source intelligence into a spatiotemporally unified, hierarchically clear, and interactively explorable battlefield map, significantly improving the efficiency and accuracy of intelligence analysis.

[0014] This invention adds metadata tags containing event ID, geographic location, timestamp, and intelligence type to each type of data, enabling automatic data association and indexing to form a structured dataset. This significantly improves the automation of data access and integration, eliminates manual processing steps caused by differences in data formats, and avoids information misalignment that may occur due to manual annotation or cross-system mapping. It provides a high-quality and highly consistent data foundation for the subsequent construction of information loops.

[0015] This invention uses a geographic map as the base state for information display, setting specific events or geographical locations as core nodes, and constructing a multi-level structure around the core nodes, including core rings, first-level rings, and second-level and above rings. Discrete, multi-source information is organized according to logical hierarchy into a radial structure around the core, making the hierarchical relationships and associations between information intuitively presented. After data is attached to specific nodes, each node becomes an interactive information aggregation point; clicking on a node retrieves the bound original data, simplifying information retrieval and association.

[0016] This invention lowers the operational threshold for non-technical personnel by using pre-set templates, enabling the rapid reuse of mature designs in visualization configurations across different scenarios. The drag-and-drop interface and field binding rules provide users with flexible customization capabilities, allowing them to adjust the visual encoding method according to specific analysis objectives. For example, colors can be used to distinguish friend from foe, and node size can be used to represent the importance of intelligence, thereby transforming the multidimensional attributes of data into intuitive visual variables. The parameterized adjustment mechanism ensures a high degree of matching between the visualization presentation and data characteristics, improving the accuracy and relevance of information delivery.

[0017] This invention encapsulates GIS functions such as map rendering, spatial analysis, and layer management into reusable components. It dynamically adjusts the display position of each node based on the density and geographical distribution of information loops on the map, calculating the optimal layout to avoid mutual occlusion between nodes. This component-based encapsulation of GIS enhances functional reusability, enabling flexible integration of map capabilities into information loop displays. An automated layout algorithm dynamically optimizes node arrangement based on real-time data density, eliminating visual overlap while maintaining geographic reference, ensuring that information loops in high-density areas remain clearly readable. The combination of an interactive engine and spatiotemporal visualization effects allows users to freely switch the analysis granularity through zooming, dragging, and other operations, thereby deeply exploring the spatiotemporal relationships between intelligence.

[0018] This application constructs a fusion architecture comprising a data layer, a presentation layer, and a collaborative control layer. The deep fusion of the data layer eliminates the separation between spatial data and attribute data, providing a unified data foundation for subsequent linkage. The common-source driving and bidirectional linkage mechanism of the presentation layer enables real-time collaboration between geographic situation and multi-dimensional data analysis, allowing analysts to complete the alternating verification of spatial positioning and data insights in a single view. The synchronous scheduling engine of the control layer ensures the consistency of operation in a multi-screen environment, building a panoramic collaborative decision-making environment for the command center and significantly improving the efficiency and accuracy of multi-dimensional information fusion analysis. Attached Figure Description

[0019] The following figures are for illustrative purposes only and are not intended to limit the scope of the invention, wherein: Figure 1 : Schematic diagram of the method for expressing the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, design methods, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention.

[0021] This invention provides a method for representing multi-source data information ring diagrams, such as... Figure 1 As shown, it includes: Step 1: Multi-source data acquisition and quick connection: Deploy standardized API interfaces and adaptation middleware. Specifically, develop independent adapter microservices for different data sources. In this embodiment, standardized API interfaces are used to connect to multiple internal and third-party systems, including satellite remote sensing systems, emergency information platforms, official information databases, news monitoring systems, and historical event databases. The satellite remote sensing system outputs satellite imagery, the emergency information platform outputs structured intelligence records, the official information database outputs official statements, the news monitoring system outputs public opinion reports, and the historical event database outputs historical event records. The adaptation middleware converts videos to MP4 format, converts documents to standardized HTML fragments and extracts text content, and converts structured data to JSON format. After format conversion, metadata tags are added to each type of data. In this embodiment, the added metadata tags include: event ID, geographic location, timestamp, intelligence type, and data source credibility.

[0022] Step 2: Construction of the information loop presentation mechanism: Using a geographic map as the base state for information display, the location is anchored on the map with prominent markers. A multi-level information ring structure is constructed around the core node. This embodiment constructs a three-layer structure: a core ring, a first-level ring, and a second-level ring. The core ring carries the event name, core area coordinates, core event time period, and core summary. The first-level ring sets up basic information first-level links around the core ring. The second-level ring further subdivides under the first-level links. By matching the spatial coordinates on the map with the event attributes of the metadata tags, the data formed in step 1 is attached to the corresponding information links. The attachment rules are: matching the core node location based on the geographic coordinates in the data, matching the event affiliation based on the event ID, matching the first-level ring category based on the intelligence type, and matching the second-level ring category based on the subdivision attributes. After attachment, each link is bound to several specific data items, supporting subsequent click-to-view.

[0023] Step 3: Customize the template visualization configuration: Select a hot topic template from the preset template library. This template pre-defines the mapping relationship between a multi-level information ring structure and visualization parameters, specifically including: Size mapping: Node size is positively correlated with intelligence importance; the higher the importance, the larger the node. Animation mapping: The motion trajectory is presented synchronously with the map base state as dynamic lines.

[0024] Users can further fine-tune the above mapping relationship through a drag-and-drop visual configuration interface. In this embodiment, analysts adjust the pop-up layout of the "Official Statement" node to the format of "Title - Publication Time - Text Summary - Original Attachment" and the pop-up layout of the "Satellite Imagery" node to the format of "Thumbnail - Capture Time - Resolution - Original Image Download" according to actual needs.

[0025] Establish binding rules between data fields and template components. For example, bind the "Event Name" field in the dataset to the core ring display component, the "Intelligence Summary" field to the text component of the node pop-up, and the "Image File URL" field to the image / video playback component of the node pop-up. Based on the above mapping relationships and binding rules, the system renders and displays the multi-level information ring structure in the visual configuration interface.

[0026] Step 4: Integration of GIS Componentization and Interactive Visualization GIS functions such as map rendering, spatial analysis, and layer management are encapsulated into reusable components. The GIS component module uses an automated layout algorithm to distribute information rings radially from the core sea area, avoiding occlusion between rings; it achieves graphical interaction through an interactive engine: clicking the "Core Data" node of the first-level ring expands the corresponding second-level ring information, and simultaneously displays corresponding multimedia information such as images, documents, and videos in a pop-up window on the right side of the interface.

[0027] In this embodiment, in order to realize interactive operations, an interaction engine also needs to be developed. Specifically, the interaction process is as follows: Clicking on any node will bring up a list of data bound to that node. Clicking on a list item will allow you to view the original data (images, documents, videos). When dragging the map, the information rings will move with the map. You can manually adjust the position of a node by dragging it (the system records manually adjusted coordinates and prioritizes them for subsequent rendering). When the map is zoomed out, nodes are automatically aggregated, displaying only the core ring and the first-level ring. When the map is zoomed in, the second-level rings are automatically expanded to display detailed information. Heatmaps are used to display the distribution of event heat, and trajectory animations are used to display the ship's navigation path.

[0028] Step 5: The integration and linkage of GIS and BI dashboards enable real-time interaction and mutual interpretation between geographic situational awareness (GIS) and multidimensional data analysis (BI), breaking down system barriers: Construct a multi-level information loop structure on GIS spatial data and a linkage mechanism with BI data dashboards to enable both to share the same dataset and achieve bidirectional real-time linkage.

[0029] A three-layer fusion architecture is constructed: The data layer integrates the event-thematic dataset formed in step 1 with GIS spatial data through a unified data bus. Using "geographic coordinates + event ID" as dual key fields, spatial data (coordinates, geometry, layers) and attribute data (text, statistics, labels) are precisely linked to form an integrated "spatial-attribute" dataset. The presentation layer adopts a homogeneous data-driven strategy, enabling the multi-level information ring structure on the map and the BI data dashboard to share the aforementioned integrated dataset. The main area of ​​the large screen presents a visualization effect of the map's base state + multi-level information rings, while the BI data dashboard on the right displays event summaries, linked resource lists, key data statistics, and situational early warning information. The collaborative control layer deploys a synchronous scheduling engine to synchronize map zooming, data refresh, and early warning triggering operations between the GIS and BI ends; it configures a multi-screen splicing interface to support the distribution of display content to multiple screens in the command center, defining the display content of each screen, for example, the main screen displays the map information ring, the left screen displays the BI dashboard, and the right screen displays a real-time video stream.

[0030] Using the above methods, analysts can quickly anchor the core elements of an event through the core ring, accurately grasp the correlations of core dimensions through the first-level ring, and delve deeper into detailed information through the second-level ring. Clicking on nodes allows for the retrieval of original data without needing to navigate to different pages or perform cross-system queries. The combination of the map's base state and the information ring visually presents the geographical location relationships and spatial correlations of movement trajectories from multiple data sources. The statistical charts on the BI dashboard enable rapid analysis of data comparisons and event development trends. In practical applications, intelligence analysts can quickly complete a comprehensive analysis of the entire event chain through this visualization effect.

[0031] The various embodiments of the present invention have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A multi-source data information ring chart expression method, characterized in that, include: Step 1: Deploy standardized API interfaces and adaptation middleware to automatically convert multi-source heterogeneous data formats and add metadata tags for each type of data. Based on the metadata tags, complete the automatic association and indexing of multi-source data to form a dataset. Step 2: Using a geographic map as the base state for information display, set specific events or geographic locations as the core nodes of the information loop, and construct a multi-level information loop structure around the core nodes; By matching the spatial coordinates of the map with the event attributes of the metadata tags, the data in the dataset is mounted onto the corresponding multi-level information ring structure. Step 3: Build a template library covering different military scenarios and a drag-and-drop visual configuration interface, preset the mapping relationship between multi-level information ring structure and visualization parameters, and display the multi-level information ring structure on the visual configuration interface based on the mapping relationship; Step 4: Encapsulate the GIS function into a reusable component, and dynamically adjust the display position of the multi-level information ring structure according to the density and geographical distribution of the multi-level information ring structure on the map to avoid mutual obstruction; Step 5: Couple the multi-level information loop structure on the GIS spatial data with the BI data dashboard to build a linkage mechanism between the GIS spatial data and the BI data dashboard. This allows the multi-level information loop structure of the GIS spatial data and the BI data dashboard to share the same dataset. When the multi-level information loop structure triggers an interaction, the BI dashboard synchronously updates the statistical analysis results of the corresponding spatial range.

2. The method for representing multi-source data information ring diagrams according to claim 1, characterized in that, The metadata tag includes the event ID, geographic location, timestamp, and intelligence type.

3. The method for representing multi-source data information ring diagrams according to claim 2, characterized in that, The metadata tag also includes the credibility of the data source, which is used for subsequent data filtering and visualization encoding.

4. The method for representing multi-source data information ring diagrams according to claim 3, characterized in that, The multi-level information ring structure includes a core ring, a primary ring, and secondary and higher-level rings. The core ring carries critical intelligence; The core elements associated with the first-level ring; The second-level and above rings extend to display more detailed information.

5. The method for representing multi-source data information ring diagrams according to claim 4, characterized in that, The GIS functions include map rendering, spatial analysis, and layer management.

6. The method for representing multi-source data information ring diagrams according to claim 5, characterized in that, The template library includes military-specific templates, including hotspot event analysis templates and equipment deployment templates; the visualization parameters include color, size, and animation, used to distinguish friend from foe, indicate intelligence importance, and display dynamic trajectories.

7. The method for representing multi-source data information ring diagrams according to claim 6, characterized in that, The linkage mechanism includes: Data layer: The dataset is integrated with GIS spatial data through a unified data bus. Spatial data and attribute data are associated with geographic coordinates and event ID as dual key fields to form an integrated dataset. Presentation Layer: Adopting a data-driven strategy based on the same source, the multi-level information ring structure and the BI data dashboard share the integrated dataset. When the multi-level information ring structure triggers an interaction, the BI data dashboard synchronously updates the statistical analysis results of the corresponding spatial range. Conversely, when the BI data dashboard performs a filtering operation, it links and highlights the associated information rings on the map to achieve bidirectional real-time linkage. Collaborative Control Layer: Deploys a synchronization scheduling engine, which is used to synchronize map zooming, data refresh, and early warning triggering operations between the GIS and BI ends; and configures a multi-screen splicing interface, which is used to connect multiple display devices and define the display content of each display device.

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